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Molecular Model for the Self-Assembly of the Cyclic Lipodepsipeptide Pseudodesmin A
Author(s) -
JeanMarc Crowet,
Davy Sinnaeve,
Krisztina Fehér,
Yoann Laurin,
Magali Deleu,
José C. Martins,
Laurence Lins
Publication year - 2019
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.9b08035
Subject(s) - supramolecular chemistry , molecular dynamics , toolbox , molecular model , in silico , supramolecular assembly , monomer , nanotechnology , chemistry , computer science , materials science , crystallography , computational chemistry , stereochemistry , polymer , biochemistry , crystal structure , organic chemistry , programming language , gene
Self-assembly of peptides into supramolecular structures represents an active field of research with potential applications ranging from material science to medicine. Their study typically involves the application of a large toolbox of spectroscopic and imaging techniques. However, quite often, the structural aspects remain underexposed. Besides, molecular modeling of the self-assembly process is usually difficult to handle, since a vast conformational space has to be sampled. Here, we have used an approach that combines short molecular dynamics simulations for peptide dimerization and NMR restraints to build a model of the supramolecular structure from the dimeric units. Experimental NMR data notably provide crucial information about the conformation of the monomeric units, the supramolecular assembly dimensions, and the orientation of the individual peptides within the assembly. This in silico / in vitro mixed approach enables us to define accurate atomistic models of supramolecular structures of the bacterial cyclic lipodepsipeptide pseudodesmin A.

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